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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
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    Explanations

    specific numeric sequences prefixed by "28"

    oai_token-act-pair · gpt-3.5-turbo

    references to the date "28"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.80
    allo
    -0.77
    aleb
    -0.75
    rase
    -0.75
    ovie
    -0.75
     Gutenberg
    -0.72
    reads
    -0.71
    atis
    -0.70
    oring
    -0.68
    chio
    -0.68
    POSITIVE LOGITS
    00
    1.30
    th
    0.97
    nm
    0.91
    50
    0.81
    80
    0.78
    06
    0.74
    08
    0.73
    70
    0.72
    60
    0.72
    PDATE
    0.71
    Activations Density 0.067%

    No Known Activations